{"title":"V2I Communication-Enabled Real-Time Intersection Traffic Signal Scheduling","authors":"William E. Alexander, X. Hong, A. Hainen","doi":"10.1145/3077286.3077573","DOIUrl":null,"url":null,"abstract":"Vehicle-to-infrastructure (V2I) communications offer great opportunities for developing applications for Intelligent Transportation Systems with real-time vehicle motion and driving specific information. In this paper, we propose a system that allows an intersection traffic signal controller to adapt to the arrivals of a priority vehicle in a non-invasive manner by using real-time vehicle positions collected via V2I. Our scheduling algorithm uses the real-time positions and the intersection's historical timing data to determine a minimum-disruption timing plan that allows the priority vehicle to arrive during a green phase for its signal. The results show that the priority vehicle can achieve noticeable delay reduction with a lower level of delay increase by the other vehicles. The work demonstrates the power of vehicle-to-infrastructure communication in enhancing transportation operation by participating in traffic control.","PeriodicalId":91384,"journal":{"name":"Proceedings of the 2014 ACM Southeast Regional Conference","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 ACM Southeast Regional Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3077286.3077573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Vehicle-to-infrastructure (V2I) communications offer great opportunities for developing applications for Intelligent Transportation Systems with real-time vehicle motion and driving specific information. In this paper, we propose a system that allows an intersection traffic signal controller to adapt to the arrivals of a priority vehicle in a non-invasive manner by using real-time vehicle positions collected via V2I. Our scheduling algorithm uses the real-time positions and the intersection's historical timing data to determine a minimum-disruption timing plan that allows the priority vehicle to arrive during a green phase for its signal. The results show that the priority vehicle can achieve noticeable delay reduction with a lower level of delay increase by the other vehicles. The work demonstrates the power of vehicle-to-infrastructure communication in enhancing transportation operation by participating in traffic control.